Long, conversational queries often reveal complex information needs. Those are exactly the kinds of searches that can expose query fan-out patterns: one user question potentially expanding into multiple related searches and information needs.
A 10+ word query isn't automatically an AI-search query. Think of it as a proxy for finding complex queries worth investigating.
The 10+ Word Regex
In Google Search Console's Performance report, apply a Custom (Regex) filter on the Queries dimension:
This matches queries containing 10 or more whitespace-separated words.
5 words (No match):
best AI SEO tools for agencies
10+ words (MATCH):
what are the best AI SEO tools for agencies in 2026
From Long Query to Query Fan-Out
Suppose GSC contains: how can I get my SaaS website mentioned in ChatGPT when people search for project management software.
You can break the underlying information need into potential subtopics:
Core Query: SaaS website visibility in ChatGPT
- ChatGPT recommendations & source selection
- AI search visibility for SaaS software
- Project management software comparisons
- Unlinked brand mentions & AI citations
- SaaS entity recognition in LLM training corpora
Look for Repeating Query Patterns
Cluster your 10+ word GSC queries by intent modifiers:
- Questions:
how do I...,what is...,why does... - Comparisons:
X vs Y...,alternatives to... - Recommendations:
best...,which one should... - Opinions & Community:
reviews...,Reddit...
The AI SEO Query Mining Workflow
Frequently Asked Questions
What is the regex to find 10+ word queries in Google Search Console?
In GSC Performance -> Custom (Regex) Queries filter, use: ^(?:\S+\s+){9,}\S+$ to isolate queries containing 10 or more words.
Why are long queries useful for AI SEO research?
Long, conversational queries reveal multi-step information needs, specific user problems, and potential subqueries generated during AI query fan-out.
Does a 10+ word query mean it was generated by AI?
No. A 10+ word query is a proxy for finding complex, conversational queries worth investigating. It serves as research data to map underlying intent rather than a guaranteed AI label.
